Update README.md

README.md

@@ -21,6 +21,20 @@ language:
 
 > deepfake-detector-model is a vision-language model fine-tuned from `google/vit-base-patch16-224-in21k` for binary image classification. It is trained to detect whether an image is fake or real using the *OpenDeepfake-Preview* dataset. The model uses the `ViTForImageClassification` architecture.
 
+```py
+Classification Report:
+              precision    recall  f1-score   support
+
+        fake     0.9817    0.9748    0.9782     10000
+        real     0.9750    0.9818    0.9784      9999
+
+    accuracy                         0.9783     19999
+   macro avg     0.9783    0.9783    0.9783     19999
+weighted avg     0.9783    0.9783    0.9783     19999
+```
+
+![download.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/QqU-DkI3sy1-HTpuE3OVz.png)
+
 ---
 
 ## Label Space: 2 Classes